---------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/TJRyan/Dropbox/Facebook Experiments/Replication files/analysi
> s-manip.log
  log type:  text
 opened on:  31 Aug 2015, 11:20:12

. do "/Users/TJRyan/Dropbox/Facebook Experiments/Replication files/analysis-manip
> .do"

. clear all

. use manip.dta

. 
. * Table A1
. reg policy policycond

      Source |       SS       df       MS              Number of obs =     156
-------------+------------------------------           F(  1,   154) =    9.28
       Model |  .717595521     1  .717595521           Prob > F      =  0.0027
    Residual |  11.9122122   154  .077352027           R-squared     =  0.0568
-------------+------------------------------           Adj R-squared =  0.0507
       Total |  12.6298077   155   .08148263           Root MSE      =  .27812

------------------------------------------------------------------------------
      policy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  policycond |   .1356908   .0445499     3.05   0.003     .0476831    .2236985
       _cons |   .2861842   .0319028     8.97   0.000     .2231606    .3492078
------------------------------------------------------------------------------

. margins, at(policy=(0 1))

Adjusted predictions                              Number of obs   =        156
Model VCE    : OLS

Expression   : Linear prediction, predict()

1._at        : policycond      =           0

2._at        : policycond      =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .2861842   .0319028     8.97   0.000     .2231606    .3492078
          2  |    .421875    .031095    13.57   0.000     .3604472    .4833028
------------------------------------------------------------------------------

. reg fact policycond

      Source |       SS       df       MS              Number of obs =     156
-------------+------------------------------           F(  1,   154) =   13.66
       Model |  1.23203547     1  1.23203547           Prob > F      =  0.0003
    Residual |  13.8865543   154   .09017243           R-squared     =  0.0815
-------------+------------------------------           Adj R-squared =  0.0755
       Total |  15.1185897   155  .097539289           Root MSE      =  .30029

------------------------------------------------------------------------------
        fact |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  policycond |   .1777961   .0481003     3.70   0.000     .0827746    .2728175
       _cons |   .3190789   .0344453     9.26   0.000     .2510326    .3871252
------------------------------------------------------------------------------

. margins, at(policy=(0 1))

Adjusted predictions                              Number of obs   =        156
Model VCE    : OLS

Expression   : Linear prediction, predict()

1._at        : policycond      =           0

2._at        : policycond      =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .3190789   .0344453     9.26   0.000     .2510326    .3871252
          2  |    .496875   .0335731    14.80   0.000     .4305517    .5631983
------------------------------------------------------------------------------

. reg econ policycond

      Source |       SS       df       MS              Number of obs =     156
-------------+------------------------------           F(  1,   154) =   13.16
       Model |   1.4284919     1   1.4284919           Prob > F      =  0.0004
    Residual |  16.7169408   154  .108551564           R-squared     =  0.0787
-------------+------------------------------           Adj R-squared =  0.0727
       Total |  18.1454327   155  .117067308           Root MSE      =  .32947

------------------------------------------------------------------------------
        econ |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  policycond |   .1914474    .052775     3.63   0.000     .0871909    .2957038
       _cons |   .4835526    .037793    12.79   0.000      .408893    .5582122
------------------------------------------------------------------------------

. margins, at(policy=(0 1))

Adjusted predictions                              Number of obs   =        156
Model VCE    : OLS

Expression   : Linear prediction, predict()

1._at        : policycond      =           0

2._at        : policycond      =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .4835526    .037793    12.79   0.000      .408893    .5582122
          2  |       .675    .036836    18.32   0.000     .6022308    .7477692
------------------------------------------------------------------------------

. 
. reg age policycond

      Source |       SS       df       MS              Number of obs =     156
-------------+------------------------------           F(  1,   154) =    0.77
       Model |  .041752066     1  .041752066           Prob > F      =  0.3821
    Residual |  8.37010691   154  .054351344           R-squared     =  0.0050
-------------+------------------------------           Adj R-squared = -0.0015
       Total |  8.41185897   155  .054270058           Root MSE      =  .23313

------------------------------------------------------------------------------
         age |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  policycond |   .0327303   .0373436     0.88   0.382    -.0410415     .106502
       _cons |   .0953947   .0267423     3.57   0.000     .0425657    .1482238
------------------------------------------------------------------------------

. margins, at(policy=(0 1))

Adjusted predictions                              Number of obs   =        156
Model VCE    : OLS

Expression   : Linear prediction, predict()

1._at        : policycond      =           0

2._at        : policycond      =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .0953947   .0267423     3.57   0.000     .0425657    .1482238
          2  |    .128125   .0260651     4.92   0.000     .0766336    .1796164
------------------------------------------------------------------------------

. reg race policycond

      Source |       SS       df       MS              Number of obs =     156
-------------+------------------------------           F(  1,   154) =    0.05
       Model |  .003189313     1  .003189313           Prob > F      =  0.8172
    Residual |  9.16467928   154  .059510904           R-squared     =  0.0003
-------------+------------------------------           Adj R-squared = -0.0061
       Total |  9.16786859   155  .059147539           Root MSE      =  .24395

------------------------------------------------------------------------------
        race |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  policycond |  -.0090461   .0390759    -0.23   0.817      -.08624    .0681479
       _cons |   .1184211   .0279828     4.23   0.000     .0631413    .1737008
------------------------------------------------------------------------------

. margins, at(policy=(0 1))

Adjusted predictions                              Number of obs   =        156
Model VCE    : OLS

Expression   : Linear prediction, predict()

1._at        : policycond      =           0

2._at        : policycond      =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .1184211   .0279828     4.23   0.000     .0631413    .1737008
          2  |    .109375   .0272743     4.01   0.000      .055495     .163255
------------------------------------------------------------------------------

. reg novel policycond

      Source |       SS       df       MS              Number of obs =     155
-------------+------------------------------           F(  1,   153) =    0.38
       Model |  .030328168     1  .030328168           Prob > F      =  0.5398
    Residual |  12.2906396   153  .080330978           R-squared     =  0.0025
-------------+------------------------------           Adj R-squared = -0.0041
       Total |  12.3209677   154  .080006284           Root MSE      =  .28343

------------------------------------------------------------------------------
       novel |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  policycond |  -.0279813   .0455394    -0.61   0.540    -.1179485    .0619858
       _cons |   .2368421   .0325113     7.28   0.000      .172613    .3010712
------------------------------------------------------------------------------

. margins, at(policy=(0 1))

Adjusted predictions                              Number of obs   =        155
Model VCE    : OLS

Expression   : Linear prediction, predict()

1._at        : policycond      =           0

2._at        : policycond      =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .2368421   .0325113     7.28   0.000      .172613    .3010712
          2  |   .2088608   .0318881     6.55   0.000      .145863    .2718585
------------------------------------------------------------------------------

. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/TJRyan/Dropbox/Facebook Experiments/Replication files/analysi
> s-manip.log
  log type:  text
 closed on:  31 Aug 2015, 11:20:23
---------------------------------------------------------------------------------
